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首页> 外文期刊>Applied Catalysis, B. Environmental: An International Journal Devoted to Catalytic Science and Its Applications >Development and application range of mathematical models for 3-way catalytic converters
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Development and application range of mathematical models for 3-way catalytic converters

机译:三元催化转化器数学模型的开发和应用范围

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The need for reliable 3-way catalytic converter modeling in the design of demanding exhaust systems for low-emitting vehicles has been widely recognised. Although a number of related models have been presented in the literature, the efficient performance in actual 3-way applications requires further development and validation. The major difficulties posed in such modeling efforts arise from the complexities in the reaction schemes and the respective rate expressions for the multitude of currently used catalytic formulations. This paper presents a two-dimensional catalytic converter model, featuring a number of innovations regarding the catalyst transient behaviour, the reaction kinetics and the solution procedure. The oxygen storage submodel presented is capable of accounting for the redox and temperature dependence of the oxygen availability under transient operation. The redox sensitivity of the reaction scheme gives a clearer insight in the ‘lambda-window’ behavior of 3-way catalysts. The application range of the model and the expected accuracy levels in the most common engineering problems are discussed. It is concluded, that although the task of predicting emissions over random driving scenarios is quite demanding in both chemical kinetics and inlet conditions data, most optimization applications may be sufficiently handled with existing kinetic expression information.
机译:在低排放车辆要求苛刻的排气系统设计中,对可靠的三元催化转化器建模的需求已得到广泛认可。尽管在文献中已经提出了许多相关的模型,但是在实际三向应用中的有效性能仍需要进一步的开发和验证。在这种建模工作中造成的主要困难是由于反应方案的复杂性以及当前使用的多种催化配方各自的速率表达。本文提出了一个二维催化转化器模型,其特征是关于催化剂的瞬态行为,反应动力学和溶液程序的许多创新。提出的氧气存储子模型能够解决瞬态操作下氧气可用性的氧化还原和温度依赖性。反应方案的氧化还原敏感性使人们更清楚地了解了三元催化剂的“λ-窗”行为。讨论了模型的应用范围以及最常见的工程问题中的预期精度水平。结论是,尽管在化学动力学和入口条件数据中,在随机驾驶情况下预测排放的任务都非常艰巨,但是大多数优化应用程序都可以使用现有的动力学表达信息进行充分处理。

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